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Komal Krishna Maddali

Software Engineer @Stellantis

Auburn Hills, MI, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Mar 2025 — Present

Software Engineer @Stellantis

Auburn Hills, MI, US

I\'m transforming embedded validation workflows at Stellantis by building internal tools that automate testing, streamline data analysis, and reduce engineering friction. With hands-on experience in HIL systems and real-world vehicle software validation, my focus now is on developing scalable software solutions using Python, AWS, and Streamlit. I’ve automated test execution, log parsing, and data visualization to accelerate decision-making across validation teams. Recently, I’ve begun integrating LLMs to interpret test procedures and generate human-readable verdicts — bridging the gap between traditional test environments and modern AI-driven engineering systems.

EDUCATION

N/A

University at Buffalo

Master of Professional Studies, Data Sciences and Applications

N/A

Sasi Junior College

Higher Secondary Education, MPC

N/A

Delhi Public School - India

High School, CBSE

N/A

SSN College of Engineering

Bachelor of Engineering - BE, Electrical and Electronics Engineering

ABOUT KOMAL KRISHNA MADDALI

Backend-leaning Python Engineer with a passion for building internal tools that automate engineering workflows, eliminate manual bottlenecks, and accelerate decision-making. I specialize in translating real-world pain points into scalable software using Python, AWS, GCP, Streamlit, React, and LLMs.🧠 Currently transforming engineering workflows at Stellantis by building automation frameworks, cloud dashboards that simplify data analysis, streamline validation processes, and enable intelligent decision-making. Graduate in Data Science from University at Buffalo, blending automotive software systems experience with modern software development, cloud platforms, and AI tooling. Tech & Tools I Work With:🧠 Programming & AI/MLPython • SQL • Pandas • PyTorch • Scikit-learn • OpenAI APIs Cloud & DeploymentAWS (S3, Lambda, API Gateway) • GCP (BigQuery, Vertex AI) • Streamlit • Kubernetes • Docker Automation & Internal ToolingReact • ETL Pipelines • DVC • Airflow • GitHub Actions Domain Tools & PlatformsCANoe • dSPACE ControlDesk • ETAS INCA • MATLAB/Simulink Formerly built ADAS testing frameworks at Hyundai Mobis, programmed factory control systems at BHEL, and now transitioning toward backend/AI roles that deliver software with real-world impact.

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